STRATAHELM · COMMUNITY AI EXPOSURE & RESILIENCE INDEX

Forest County, Pennsylvania

CAERI NationalPennsylvania › Forest County · FIPS 42053 · caeri:42053
46.1
CAERI score (national basis)
25th–50th
National percentile band
#1978
Ranked of 3142 U.S. counties
#36
Ranked in Pennsylvania (of 67)
Low
Confidence

Two comparisons, both shown. The national basis ranks Forest County against every scored U.S. county — its percentile band above is a relative national standing, not a condition. The in-state basis ranks it against Pennsylvania's other counties (rank and percentile only — bands aren't meaningful within a single state). A county can stand out in its own state while sitting mid-pack nationally. Neither is a forecast.

Pillar breakdown — national percentile ranks

P1 · Direct occupational exposure
3
P2 · Economic concentration
55
P3 · Adaptive capacity (inverted)
11
P4 · Regional buffer (inverted)
18
P5 · Fiscal sensitivity
34
Zone shading marks percentile quartiles; darker and warmer means more concerning. Capacity and buffer bars (inverted before aggregation) read mirrored — for those, a higher percentile is the safer pale end.
Data-quality notice for this county. This is disclosed rather than smoothed over; the confidence rating above reflects it.

What this means for Forest County

Forest County scores 46.1 on the national CAERI basis — 1978th of 3,142 scored U.S. counties, placing it in the 25th–50th band nationally by percentile, with a low-confidence rating. Within Pennsylvania it ranks 36th of 67 counties (47th in-state percentile). The score summarizes how concentrated local employment is in AI-exposed occupations against the economy's measured capacity to adapt; these are relative-standing bands, not a projection of local job change.

Direct occupational exposure stands at the 3rd national percentile. The largest concentrations of locally estimated employment in high-exposure occupations are office clerks, general, secretaries and administrative assistants, except legal, medical, and executive, eligibility interviewers, government programs. The share of exposed-industry jobs held by workers under 25 is 0% — well below the state median of 8%; research on AI-era payrolls finds early-career roles in exposed work are where hiring patterns shift first, so this share indicates how soon exposure could be felt, not how large it is.

The share of exposed-industry jobs held by workers 55 and over is 31% (above the state median) — a higher share historically means slower workforce adjustment when industries restructure. Fiscal sensitivity ranks at the 24th percentile among Pennsylvania's counties. Census of Governments data shows state aid at 23% of this county's general revenue (well below the state median), and wage- and consumption-sensitive streams (sales, income, and similar own-source taxes, where levied) at 8% of own-source revenue. Property taxes, which respond to economic change more slowly, are counted separately and are not part of that sensitive share. How this state's aid formulas and tax structure carry economic change into local budgets is covered in the state-specific fiscal analysis available to subscribers. All county occupation figures on this page are model-based ESTIMATES with the confidence rating shown above.

Largest locally-estimated employment in high-exposure occupations

Across all 165 high-exposure occupations (top quartile of ensemble exposure) with estimated local employment, Forest County has an estimated 296 jobs — 18.2% of county employment — carrying an estimated $16M annual wage bill in high-exposure work. The five largest:

OccupationEst. local employment*Exposure (0–1)Median wage (area)
Office Clerks, General380.44$38,100
Secretaries and Administrative Assistants, Except Legal, Medical, and Executive310.50$39,340
Eligibility Interviewers, Government Programs230.40$57,910
First-Line Supervisors of Office and Administrative Support Workers230.47$57,940
Bookkeeping, Accounting, and Auditing Clerks130.51$43,820
*County-level occupation figures are model-based ESTIMATES, not surveyed counts (see methodology §5 summary); every county carries the confidence rating shown above. Wage = area median.

Age structure of exposed-industry employment

Forest CountyPennsylvania median
Share of exposed-industry jobs held by workers under 25 (entry rung) 0.0%7.9%
Share of exposed-industry jobs held by workers 55+ (adjustment friction) 30.9%29.6%

🔒 City-level detail for its cities and towns

The county number above averages over every community in it. City- and place-level exposure profiles, employer-mix detail, trend monitoring, and peer benchmarking are part of the CAERI subscription for local governments and regional organizations.

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Cite this page

Canonical identifier: caeri:42053 — this URL is permanent; if the address scheme ever changes, the old address will redirect. StrataHelm. (2026). Forest County, Pennsylvania — Community AI Exposure & Resilience Index (CAERI v0.3.1) [Data set]. Retrieved August 4, 2026, from https://stratahelm.com/counties/pennsylvania/forest/ “Forest County, Pennsylvania — CAERI.” StrataHelm, 2026, stratahelm.com/counties/pennsylvania/forest/. Accessed 4 August 2026. StrataHelm. “Forest County, Pennsylvania — Community AI Exposure and Resilience Index (v0.3.1).” 2026. https://stratahelm.com/counties/pennsylvania/forest/
Embed this county's score card — attribution to StrataHelm CAERI and the link back are part of the embedded page and cannot be stripped:<iframe src="https://stratahelm.com/counties/pennsylvania/forest/embed/" width="420" height="275" loading="lazy" title="CAERI — Forest County, PA"></iframe>

Machine-readable: this county's JSON · national dataset download and data dictionary on the methodology page.

Nearby and comparable counties

Indiana Co., PA (in state)Juniata Co., PA (in state)Huntingdon Co., PA (in state)Yakima Co., WA (similar score)Pepin Co., WI (similar score)Southeast Fairbanks Co., AK (similar score)

Links point to the economically nearest counties (in-state, and similar national score). County-level geographic adjacency is not part of the public reference data, so proximity here is by rank, not by shared border.

Sources & provenance

LayerSources (vintage)
Employment & occupation structurecbp_pa_county_naics4: Census CBP 2023 API (NAICS2017 classification; PAYANN in $1,000s; noise infusion G/H/J bands, D = withheld -&gt; NaN); county_soc_estimates.meta_pa.json; exposure_scores: 2026-07-04; matrix_staffing_patterns: 2024-34 National Employment Matrix (base year 2024)
AI-exposure research baseAnthropic Economic Index; Felten, Raj & Seamans (AIOE); Eloundou et al. — combined as a weighted ensemble with cross-source disagreement feeding the confidence rating
Capacity, buffer & fiscalgovfin_pa_county_revenue_mix: 2022 Census of Governments, Survey of Government Finances; lodes_pa_county_flows: LEHD LODES8 OD 2023, JT00/S000; sources: pa_main, pa_aux, de_aux, md_aux, nj_aux, ny_aux, oh_aux, wv_aux; qwi_pa_county_naics3_age: Census QWI (qwi/sa), quarters [&#x27;2024-Q4&#x27;, &#x27;2025-Q1&#x27;, &#x27;2025-Q2&#x27;, &#x27;2025-Q3&#x27;], sex=0, ownercode=A05 (private), 96 NAICS-3 + &#x27;00&#x27; all-industry
MethodologyCAERI v0.3.1 · public methodology · scores generated 2026-07-12 · page generated 2026-08-04
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